cloudquery/cloudquery

Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS,...

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Summary Information

Updated 32 minutes ago
Added to GitGenius on September 10th, 2026
Created on November 18th, 2020
Open Issues & Pull Requests: 166 (+0)
GitHub issues: Enabled
Number of forks: 558
Total Stargazers: 6,518 (+0)
Total Subscribers: 60 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 4.3 days
Mean response time: 124.4 days
90th percentile: 528.0 days
Tracked items: 73

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 94% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "kind/bug" is answered fastest, typically in about 27 hours, while "area/plugin-sdk/go" waits about 8 months. Only 2% of issues opened in the past year have been closed. Three people close 93% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 35
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 645 days
Stale 30+ days: 34
Stale 90+ days: 24

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • kind/feat (34)
  • kind/bug (33)
  • area/plugin-sdk/go (14)
  • area/policy/aws (9)
  • area/new-resource (8)
  • cloud-governance (8)
  • area/cli (7)
  • priority/p1 (5)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

CloudQuery is a cloud asset inventory and data pipeline tool that syncs infrastructure metadata from AWS, Azure, GCP, and over 70 cloud and SaaS sources into your data warehouse.

The tool addresses the challenge of managing and querying cloud infrastructure data across multiple providers and services. It extracts configuration and security data from cloud sources, normalizes it into a unified schema, and loads it into your chosen data warehouse where it becomes queryable with SQL. This approach eliminates the need to write custom scripts against poorly documented APIs and allows teams to build a single source of truth for cloud asset information. The tool handles rate limiting, pagination, and other API complexities automatically, and uses Apache Arrow for high-performance data movement.

CloudQuery suits platform teams and organizations managing multi-cloud environments who need to power cloud asset inventory, cloud security posture management, or FinOps solutions. It works well for teams that want to query cloud data with SQL rather than building custom integrations, and for those operating in regulated or security-critical environments since data processing happens on your own infrastructure rather than CloudQuery's servers. The tool is designed for developers who prefer code-first approaches and want to extend functionality through plugins in multiple languages without vendor lock-in.

The project maintains active development with regular updates to source and destination plugins. The codebase shows ongoing work to expand cloud provider coverage and add new data sources. Plugin architecture receives continuous refinement to support additional languages and integration patterns. The tool demonstrates sustained investment in performance optimization and reliability improvements for production data pipeline workloads.